• español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Stöbern

    Gesamter BestandBereicheErscheinungsdatumAutorenSchlagwortenTiteln

    Mein Benutzerkonto

    Einloggen

    Statistik

    Benutzungsstatistik

    Compartir

    Dokumentanzeige 
    •   UVaDOC Startseite
    • WISSENSCHAFTLICHE ARBEITEN
    • Departamentos
    • Dpto. Economía Aplicada
    • DEP20 - Artículos de revista
    • Dokumentanzeige
    •   UVaDOC Startseite
    • WISSENSCHAFTLICHE ARBEITEN
    • Departamentos
    • Dpto. Economía Aplicada
    • DEP20 - Artículos de revista
    • Dokumentanzeige
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis

    Citas

    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/21491

    Título
    Ranking Candidates Through Convex Sequences of Variable Weights
    Autor
    Llamazares Rodríguez, BonifacioAutoridad UVA Orcid
    Año del Documento
    2016
    Editorial
    INFORMS (Institute for Operations Research and Management Sciences)
    Descripción
    Producción Científica
    Documento Fuente
    Group Decision and Negotiation, 2016, Vol. 25, Issue 3, p. 567–584
    Zusammenfassung
    Scoring rules are a well-known class of positional voting systems where fixed scores are assigned to the different ranks. Nevertheless, since the winners may change according to the scores used, the choice of the scoring vector is not obvious. For this reason several methods have been suggested so that each candidate may be evaluated with the most favorable scoring vector for him/her. In this paper we propose a new model that allows to use different scoring vector for each candidate and avoid some shortcomings of other methods suggested in the literature. Moreover we give a closed expression for the score obtained by each candidate and, in this way, it is possible to rank the candidates without solving the proposed model.
    Materias (normalizadas)
    Análisis vectorial
    ISSN
    0926-2644
    Revisión por pares
    SI
    DOI
    10.1007/s10726-015-9452-8
    Version del Editor
    http://rd.springer.com/
    Propietario de los Derechos
    Ministerio de Economía, Industria y Competitividad (ECO2012-32178)
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/21491
    Derechos
    openAccess
    Aparece en las colecciones
    • DEP20 - Artículos de revista [181]
    Zur Langanzeige
    Dateien zu dieser Ressource
    Nombre:
    2016GDN.pdf
    Tamaño:
    150.8Kb
    Formato:
    Adobe PDF
    Thumbnail
    Öffnen
    Attribution-NonCommercial-NoDerivatives 4.0 InternationalSolange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Attribution-NonCommercial-NoDerivatives 4.0 International

    Universidad de Valladolid

    Powered by MIT's. DSpace software, Version 5.10